unsupervised language model adaptation for meeting recognition
Tài liệu Báo cáo khoa học: "Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information" doc
Ngày tải lên :
19/02/2014, 19:20
... Vogel.
2006. Distributed Language Modeling for N-best List
Re-ranking. In Proc. of EMNLP 2006, pages 216-223.
Bing Zhao, Matthias Eck and Stephan Vogel. 2004.
Language Model Adaptation for Statistical ... translation mod-
el adaptation and language model adaptation. Here
we focus on how to adapt a translation model, which
is trained from the large-scale out-of-domain bilin-
gual corpus, for domain-specific ... enforces one-to-one topic corre-
spondence and enables latent topic distributions to
be efficiently transferred across languages, to cross-
lingual language modeling and translation lexicon
adaptation. ...
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Báo cáo khoa học: "On-line Language Model Biasing for Statistical Machine Translation" docx
Ngày tải lên :
17/03/2014, 00:20
... USA. Association for Computational Linguistics.
Bing Zhao, Matthias Eck, and Stephan Vogel. 2004.
Language model adaptation for statistical machine
translation with structured query models. In Proceed-
ings ... parameter
estimation. Computational Linguistics, 19:263–311.
Woosung Kim. 2005. Language Model Adaptation for
Automatic Speech Recognition and Statistical Machine
Translation. Ph.D. thesis, The Johns ... Annual Meeting of the Association for Computational Linguistics:shortpapers, pages 445–449,
Portland, Oregon, June 19-24, 2011.
c
2011 Association for Computational Linguistics
On-line Language Model...
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Báo cáo khoa học: "A Preference-first Language Processor Integrating the Unification Grammar and Markov Language Model for Speech Recognition-ApplicationS" potx
Ngày tải lên :
08/03/2014, 07:20
... Markov language model, and a simple
set of unification grammar rules for the Chinese
language, although the present model is in fact
language independent. The system is written in C
language ... signal
preprocessor is included to form a complete speech
recognition system. The language processor consists
of a language model and a parser. The language model
properly integrates the unification ... summarized.
The Laneua~e Model
The goal of the language model is to participate
in the selection of candidate constituents for a
sentence to be identified. The proposed language
model is composed...
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Tài liệu Báo cáo khoa học: "Topic Models for Dynamic Translation Model Adaptation" pptx
Ngày tải lên :
19/02/2014, 19:20
... 115–119,
Jeju, Republic of Korea, 8-14 July 2012.
c
2012 Association for Computational Linguistics
Topic Models for Dynamic Translation Model Adaptation
Vladimir Eidelman
Computer Science
and UMIACS
University ... for the source it
came from, many word pairs will be unobserved for
a given table. This sparsity requires smoothing. Sec-
ond, we may not know the (sub)corpora our training
1
Language model adaptation ... topic-specific contexts, where
topics are induced in an unsupervised way
using topic models; this can be thought of
as inducing subcorpora for adaptation with-
out any human annotation. We use these...
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Tài liệu Báo cáo khoa học: "A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation" doc
Ngày tải lên :
20/02/2014, 04:20
... Syntax-
based language models for statistical machine transla-
tion. MT Summit IX., Intl. Assoc. for Machine Trans-
lation.
C. Chelba and F. Jelinek. 1998. Exploiting syntactic
structure for language modeling. ... Dis-
tributed language modeling for N-best list re-ranking.
The 2006 Conference on Empirical Methods in Natu-
ral Language Processing (EMNLP), 216-223.
Y. Zhang, 2008. Structured language models for statisti-
cal ... n-gram/m-
SLM/PLSA language model.
The composite n-gram/m-SLM/PLSA lan-
guage model can be formulated as a directed
MRF model (Wang et al., 2006) with lo-
cal normalization constraints for the param-
eters...
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Tài liệu Báo cáo khoa học: "Discriminative Lexicon Adaptation for Improved Character Accuracy – A New Direction in Chinese Language Modeling" pptx
Ngày tải lên :
20/02/2014, 07:20
... can be
amended by involving the discriminative language
model adaptation in the iteration, which results in
a unified language model and lexicon adaptation
framework. This can be our future work. ... beginning we are given an adaptation spoken
corpus and manual transcriptions. Based on a base-
line lexicon (Lex
0
) and a language model (LM
0
)
we perform ASR on the adaptation corpus and con-
struct ... motivated
by previous language model adaptation works (Fed-
erico, 1999) which usually try to introduce new ev-
idences in the adaptation corpus but with the least
modification of the original model. Of course...
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Tài liệu Báo cáo khoa học: "Discriminative Syntactic Language Modeling for Speech Recognition" pdf
Ngày tải lên :
20/02/2014, 15:20
... syntactic language model has the task
of modeling a distribution over strings in the lan-
guage, in a very similar way to traditional n-gram
language models. The Structured Language Model
(Chelba ... comparing
against then performed a rescoring pass on these first
pass lattices, allowing for better silence modeling,
and replaces the trigram language model score with
a 6-gram model. 1000-best lists ... Previous Work
Techniques for exploiting stochastic context-free
grammars for language modeling have been ex-
plored for more than a decade. Early approaches
included algorithms for efficiently calculating...
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Tài liệu Báo cáo khoa học: "A Phonotactic Language Model for Spoken Language Identification" pptx
Ngày tải lên :
20/02/2014, 15:20
... June 2005.
c
2005 Association for Computational Linguistics
A Phonotactic Language Model for Spoken Language Identification
Haizhou Li and Bin Ma
Institute for Infocomm Research
Singapore ...
the 1996 NIST Language Recognition
Evaluation database.
1 Introduction
Spoken language and written language are similar
in many ways. Therefore, much of the research in
spoken language identification, ... in the formalism mentioned
above: tokenization, statistical language modeling,
and language identification. A typical LID system
is illustrated in Figure 1 (Zissman, 1996), where
language...
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Báo cáo khoa học: "Combining a Statistical Language Model with Logistic Regression to Predict the Lexical and Syntactic Difficulty of Texts for FFL" potx
Ngày tải lên :
08/03/2014, 21:20
... also ensures that
the language resembles present-day spoken
French.
• The target population for our formula is
young people and adults. Therefore, only
textbooks intended for this public were ... a
statistical language model and a measure of tense
difficulty.
4.1 The language model
The lexical difficulty of a text is quite an elaborate
phenomenon to parameterise. The logistic regres-
sion models ... for every learner is far from
easy. In this context, automatic procedures
can support the teacher’s work. Some
tools exist for English, but at present there
are none for French as a foreign language
(FFL)....
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- a structured language model
- combining a statistical language model
- ngram language model for spoken language processing
- unsupervised language model adaptation
- unsupervised language model adaptation incorporating named entity information
- syntactic discriminative language model rerankers for statistical machine translation